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- W3144073232 abstract "System evolutions have to be managed to ensure system effectiveness and efficiency through its whole lifecycle, particularly when it comes to complex systems that take years of development and dozens of years of usage. System Reconfiguration is key in complex systems management, as it is an enabler of system flexibility and adaptability regarding system evolutions. System reconfiguration ensures operational effectiveness and increases system qualities (e.g., reliability, availability, safety, and usability).This research has been conducted in the context of a large international aerospace, space, ground transportation, defense, and security company. This research aims at supporting system reconfiguration during operations.First, we conducted a descriptive study based on a field study and a literature review to identify the industrial challenges related to system reconfiguration. The main issue lies in the development of reconfiguration support. More specifically, challenges related to data identification and integration were identified.In this thesis, we present the OSysRec ontology, which captures and formalizes the reconfiguration data. The ontology synthesizes the structure, dynamics, and management aspects necessary to support the system reconfiguration process in an overall manner.Furthermore, we present a model-based method (MBSysRec) that integrates system reconfiguration data and bridges both the engineering and the operational phases. MBSysRec is a multidisciplinary method that involves combinatorial configuration generation and a multi-criteria decision-making method for configuration evaluation and selection.This thesis is a step towards a model-based approach for system reconfiguration of evolving systems, ensuring their flexibility and adaptability" @default.
- W3144073232 created "2021-04-13" @default.
- W3144073232 creator A5060678113 @default.
- W3144073232 date "2020-12-02" @default.
- W3144073232 modified "2023-09-27" @default.
- W3144073232 title "System reconfiguration : A Model based approach; From an ontology to the methodology bridging engineering and operations" @default.
- W3144073232 hasPublicationYear "2020" @default.
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